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dc.contributor.author |
DRICI, ADEM |
|
dc.contributor.author |
HAMIDOUCHE, SALAH |
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dc.date.accessioned |
2024-09-17T10:35:51Z |
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dc.date.available |
2024-09-17T10:35:51Z |
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dc.date.issued |
2024-06 |
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dc.identifier.issn |
MM/812 |
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dc.identifier.uri |
https://dspace.univ-bba.dz:443/xmlui/handle/123456789/5377 |
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dc.description.abstract |
Traditional prison identification methods, such as RFID, wristbands, and fingerprinting, have many defects and shortcomings. For this reason, we propose a new system that uses facial recognition and ArUco marker technologies, adapted to prisoner uniforms. Each prisoner is given a unique ArUco marker ID that enables accurate identification even if the face is obstructed. Our system will help track prisoners throughout the prison by placing cameras at strategic locations, entrances, corridors, and jail squares, ensuring constant surveillance and optimizing detection capability. This idea gives better security with improved efficiency and reliability and can completely revolutionize prison surveillance |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
UNIVERSITY BBA |
en_US |
dc.subject |
RFID,Tracking Visual Markers |
en_US |
dc.title |
Inmates Tracking Based on Face and Visual Markers |
en_US |
dc.type |
Thesis |
en_US |
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